The use case: how Jobright deploys Zilliz
Jobright, an AI-native job search platform, uses Zilliz Cloud as its vector database to power real-time job matching, referral discovery, company insights and career trajectory recommendations. Queries combine semantic vector search with filters such as location, visa status and experience level.
More reported results
Figures published in Zilliz’s case study. They are not independently measured by usedby.
The system achieved 99.9%+ uptime after deployment
processing over 2 million user interactions daily
Daily active users surged from 10 in the first year to nearly 100,000
In the customer’s words
Choosing Zilliz Cloud was one of our best early decisions. It enabled us to build the product we envisioned rather than the product our infrastructure limitations would allow. In AI applications, that difference often determines success or failure.Other companies using Zilliz
Customers across industries, with public evidence.
See all Zilliz customers
Go straight to the source
Based on Zilliz’s published case study. We check the public evidence; the results are reported by the vendor.
zilliz.com- Source published
- Jul 7, 2025
- Last checked
- Oct 27, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: under 50msChecked
Printed word for word on the page, near the name of Jobright.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Jobright.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Jobright uses ZillizChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Query response times improved dramatically, from inconsistent 200-500ms with frequent timeouts to consistent sub-100ms performance, with a P95 latency of under 50ms for core matching operations.